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AI EngineeringPython

Dagster Expert

by dagster-io

Dagster Expert is an AI Engineering skill for Claude Code, published by dagster-io in skills.

203 stars16 forkson dagster-io/skillsAdded 2026/09/05+1% in starsRepository updated 2026/09/03
ai-toolsclaude-codedagsterdata-engineeringdata-orchestrationmarketplace
Install in seconds
Install Dagster Expert
Copy Dagster Expert into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/dagster-io/skills/tree/master/skills/dagster-expert/skills/dagster-expert ~/.claude/skills/dagster-expert

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/dagster-io/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/dagster-expert/skills/dagster-expert/SKILL.md in dagster-io/skills
Installs to
~/.claude/skills/dagster-expert
Collection
The only skill cataloged from this repository
Category
AI Engineering3101 skills

What Dagster Expert does

Dagster Expert helps with Dagster project workflows, including definitions, assets, automation, and deployed Dagster Plus resources. Use it when you need to choose the right dg CLI, MCP server, or API approach and follow Dagster-specific reference docs.

Dagster Expert is cataloged under AI Engineering on DirSkills. Dagster Expert comes from a repository tagged ai-tools, claude-code, dagster, data-engineering and data-orchestration.

Documentation

README

Core Dagster Concepts

Brief definitions only (see reference files for detailed examples):

  • Asset: Persistent object (table, file, model) produced by your pipeline
  • Component: Reusable building block that generates definitions (assets, schedules, sensors, jobs, etc.) relevant to a particular domain.

Integration Workflow

When integrating with ANY external tool or service, read the Integration libraries index. This contains information about which integration libraries exist, and references on how to create new custom integrations for tools that do not have a published library.

Programmatic Access: dg CLI and the Dagster Plus MCP server

There are two ways to interact with Dagster programmatically. Pick by where the work happens:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Dagster Expert

  • How does Dagster Expert compare to other AI Engineering skills?

    Dagster Expert ranks #2819 by stars among the 3101 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Dagster Expert against them. Open each page to compare what they document and how they install.